IEA EBC Annex 81 – Data-Driven Smart Buildings: Building-to-Grid Applications

Hicham Johra, Han Li, Flavia de Andrade Pereira, Kingsley Nweye, Lasitha Chamari, Zoltan Nagy

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1 Citationer (Scopus)
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Abstract

Within the IEA EBC Annex 81 – “data-driven smart buildings”, the sub-task C3 – “Building-to-Grid (B2G) applications” focuses on developing an online platform to gather, evaluate, compare, present and promote concrete cases in which a building or cluster of buildings provide service to the energy grid such as demand response (DR). To that end, the sub-task addresses some important research gaps such as context, definitions and key performance indicators (KPIs) for building energy flexibility (EF) assessment and the heterogeneity of data representations in datasets of B2G services. It provides an overview of the data-driven KPIs for EF assessment, discusses open datasets of buildings performing DR, and proposes a framework to standardize KPIs’ definition and dataset collection. This framework uses semantic principles and a Python package to harmonize required and available data from KPIs and B2G datasets. It thus streamlines the computation of EF assessments, which are implemented in an online platform. This paper presents the results, conclusions and perspectives on B2G applications that can be drawn from sub-task C3.
OriginalsprogEngelsk
TitelProceedings of Building Simulation 2023 : 18th Conference of International Building Performance Simulation Association. Shanghai, China, 4-6 September 2023
Antal sider8
Vol/bind18
ForlagInternational Building Performance Simulation Association (IBPSA)
Publikationsdatosep. 2023
Sider2537-2544
Artikelnummer1325
ISBN (Elektronisk)978-1-7750520-3-6
DOI
StatusUdgivet - sep. 2023
BegivenhedIBPSA Building Simulation 2023 - Shanghai, Shanghai, Kina
Varighed: 4 sep. 20236 sep. 2023
https://bs2023.org/

Konference

KonferenceIBPSA Building Simulation 2023
LokationShanghai
Land/OmrådeKina
ByShanghai
Periode04/09/202306/09/2023
Internetadresse
NavnBuilding Simulation Conference proceedings
Vol/bind18
ISSN2522-2708

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